STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

Statistics and Its Interface, issn 1938-7989, published by INT PRESS BOSTON, INC, is a vital academic journal dedicated to bridging the critical intersection of statistics, applied mathematics, and interdisciplinary research. With its inaugural publication in 2011, this journal has continually aimed to provide a platform for innovative statistical methods and their application across various fields, offering valuable insights for researchers and practitioners alike. While the journal currently operates without an open access model, it maintains an essential position within the scholarly community, evidenced by its 2023 rankings in the third quartile for Applied Mathematics and the fourth quartile for Statistics and Probability. Furthermore, it holds a respectable position in Scopus rankings, reflecting its commitment to quality over quantity. By publishing cutting-edge research, Statistics and Its Interface serves as a critical resource for advancing statistical knowledge and cultivating a deeper understanding of its applications in real-world contexts.

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.

Electronic Journal of Statistics, published by INST MATHEMATICAL STATISTICS-IMS, is a premier open-access platform dedicated to the field of statistics and probability, with a remarkable track record since its inception in 2007. With an ISSN of 1935-7524, this journal has quickly established itself as a leading resource within the top Q1 category in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, highlighting its significance and impact in the academic community. The journal’s commitment to disseminating high-quality research allows researchers, professionals, and students to access valuable findings and methodologies that contribute to the advancement of statistical sciences. With its convergence set to continue until 2024, the Electronic Journal of Statistics remains a vital source for scholars looking to enrich their knowledge and engage with cutting-edge statistical theories and applications.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, published by Taylor & Francis Ltd, is a premier journal dedicated to advancing the fields of statistical computation, modeling, and simulation. With a notable impact factor and a ranking in the Q2 quartile across important categories such as Applied Mathematics and Statistics, this journal serves as a vital resource for researchers, practitioners, and students alike. Established in 1972, it has consistently provided cutting-edge research insights, fostering a deeper understanding of statistical methodologies and their practical applications. Although it operates under a subscription model, the journal's commitment to disseminating high-quality research is reflected in its rigorous peer-review process and a broad international readership. With its scope spanning the intersections of statistics, probability, and computational techniques, the journal is essential for anyone looking to stay at the forefront of statistical innovation and practice.

COMPUTATIONAL STATISTICS & DATA ANALYSIS, published by Elsevier, is a leading academic journal that has made significant contributions to the fields of Applied Mathematics, Computational Mathematics, Computational Theory and Mathematics, and Statistics and Probability. With an impressive ranking of Q1 in multiple categories, this journal stands at the forefront of scholarly research and innovation. Leveraging its digital accessibility through E-ISSN 1872-7352, the journal facilitates the dissemination of high-quality research findings and methodologies essential for advancing statistical techniques and data analysis applications. Operating from its base in Amsterdam, Netherlands, the journal features rigorous peer-reviewed articles that cater to a diverse readership including researchers, professionals, and students. As a vital resource for cutting-edge developments from 1983 to its ongoing publication in 2025, COMPUTATIONAL STATISTICS & DATA ANALYSIS continues to foster academic discourse and propel the field forward, ensuring that emerging trends and established theories are effectively communicated to the scientific community.

Canadian Journal of Statistics - Revue Canadienne de Statistique is a prestigious publication in the field of statistics, managed by Wiley. Since its inception in 1973, this journal has served as an essential resource for researchers, practitioners, and students, offering insights into a diverse range of statistical methodologies and applications. With its impact reflected in its 2023 categorization as Q2 in Statistics and Probability and Q3 in Statistics, Probability and Uncertainty, the journal stands out among its peers, exemplifying rigorous standards in empirical research. The journal's ISSN is 0319-5724 and its E-ISSN is 1708-945X, providing a robust platform for the dissemination of knowledge in the field. While it does not offer open access, the journal remains highly regarded and well-cited, contributing significantly to the advancement of statistical theory and practice. As it continues to publish cutting-edge research through to 2024, the Canadian Journal of Statistics is a must-read for anyone seeking to stay informed on the latest trends and developments in statistics.

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.